{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA Tools Agent\n",
    "\n",
    "Exploratory Data Analysis is at the heart of data science. So we created the `EDA Tools Agent` to help you with your EDA. The `EDA Tools Agent` is a collection of tools that help you with your EDA:\n",
    "\n",
    "- Missing Data with `missingno`\n",
    "- EDA Reporting with `sweetviz`\n",
    "- Correlation Analysis with `pytimetk` correlation funnel\n",
    "- And more!\n",
    "\n",
    "### Want To Become A Full-Stack Generative AI Data Scientist?\n",
    "\n",
    "![Generative AI Data Scientist](../../img/become_a_generative_ai_data_scientist.jpg)\n",
    "\n",
    "I teach Generative AI Data Science to help you build AI-powered data science apps. [**Register for my next Generative AI for Data Scientists workshop here.**](https://learn.business-science.io/ai-register)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "bat"
    }
   },
   "source": [
    "# Table of Contents\n",
    "\n",
    "1. [EDA Tools Agent](#eda-tools-agent)\n",
    "2. [Load Libraries and Data](#load-libraries)\n",
    "3. [Setup AI](#setup)\n",
    "4. [Create The Agent](#create-the-agent)\n",
    "5. [Usage](#usage)\n",
    "    1. [What tools do you have access to?](#what-tools-do-you-have-access-to)\n",
    "    2. [Get information on one of the agent's tools](#get-information-on-one-of-the-agents-tools)\n",
    "6. [Tool Examples - How to use the agent's tools](#tool-examples)\n",
    "    1. [Example 1: Describe data set tool](#example-1-describe-data-set-tool)\n",
    "    2. [Example 2: Missing data tool](#example-2-missing-data-tool)\n",
    "    3. [Example 3: Correlation Funnel Tool](#example-3-correlation-funnel-tool)\n",
    "    4. [Example 4: Sweetviz Tool](#example-4-sweetviz-tool)\n",
    "7. [Want To Become A Full-Stack Generative AI Data Scientist?](#want-to-become-a-full-stack-generative-ai-data-scientist)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load Libraries and Data <a id=\"load-libraries\"></a>\n",
    "\n",
    "We will load the libraries and data that we need for this notebook.\n",
    "\n",
    "The dataset is the churn data from the `data` folder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "customerID",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "gender",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "SeniorCitizen",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Partner",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Dependents",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "tenure",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "PhoneService",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "MultipleLines",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "InternetService",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "OnlineSecurity",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "OnlineBackup",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "DeviceProtection",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "TechSupport",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "StreamingTV",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "StreamingMovies",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Contract",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "PaperlessBilling",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "PaymentMethod",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "MonthlyCharges",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "TotalCharges",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Churn",
         "rawType": "object",
         "type": "string"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "cad8affd-34f4-45d6-b419-bc91e09a8544",
       "rows": [
        [
         "0",
         "7590-VHVEG",
         "Female",
         "0",
         "Yes",
         "No",
         "1",
         "No",
         "No phone service",
         "DSL",
         "No",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "29.85",
         "29.85",
         "No"
        ],
        [
         "1",
         "5575-GNVDE",
         "Male",
         "0",
         "No",
         "No",
         "34",
         "Yes",
         "No",
         "DSL",
         "Yes",
         "No",
         "Yes",
         "No",
         "No",
         "No",
         "One year",
         "No",
         "Mailed check",
         "56.95",
         "1889.5",
         "No"
        ],
        [
         "2",
         "3668-QPYBK",
         "Male",
         "0",
         "No",
         "No",
         "2",
         "Yes",
         "No",
         "DSL",
         "Yes",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "Yes",
         "Mailed check",
         "53.85",
         "108.15",
         "Yes"
        ],
        [
         "3",
         "7795-CFOCW",
         "Male",
         "0",
         "No",
         "No",
         "45",
         "No",
         "No phone service",
         "DSL",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "No",
         "No",
         "One year",
         "No",
         "Bank transfer (automatic)",
         "42.3",
         "1840.75",
         "No"
        ],
        [
         "4",
         "9237-HQITU",
         "Female",
         "0",
         "No",
         "No",
         "2",
         "Yes",
         "No",
         "Fiber optic",
         "No",
         "No",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "70.7",
         "151.65",
         "Yes"
        ],
        [
         "5",
         "9305-CDSKC",
         "Female",
         "0",
         "No",
         "No",
         "8",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "No",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "99.65",
         "820.5",
         "Yes"
        ],
        [
         "6",
         "1452-KIOVK",
         "Male",
         "0",
         "No",
         "Yes",
         "22",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "Yes",
         "No",
         "No",
         "Yes",
         "No",
         "Month-to-month",
         "Yes",
         "Credit card (automatic)",
         "89.1",
         "1949.4",
         "No"
        ],
        [
         "7",
         "6713-OKOMC",
         "Female",
         "0",
         "No",
         "No",
         "10",
         "No",
         "No phone service",
         "DSL",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "No",
         "Mailed check",
         "29.75",
         "301.9",
         "No"
        ],
        [
         "8",
         "7892-POOKP",
         "Female",
         "0",
         "Yes",
         "No",
         "28",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "No",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "104.8",
         "3046.05",
         "Yes"
        ],
        [
         "9",
         "6388-TABGU",
         "Male",
         "0",
         "No",
         "Yes",
         "62",
         "Yes",
         "No",
         "DSL",
         "Yes",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "One year",
         "No",
         "Bank transfer (automatic)",
         "56.15",
         "3487.95",
         "No"
        ],
        [
         "10",
         "9763-GRSKD",
         "Male",
         "0",
         "Yes",
         "Yes",
         "13",
         "Yes",
         "No",
         "DSL",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "Yes",
         "Mailed check",
         "49.95",
         "587.45",
         "No"
        ],
        [
         "11",
         "7469-LKBCI",
         "Male",
         "0",
         "No",
         "No",
         "16",
         "Yes",
         "No",
         "No",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "Two year",
         "No",
         "Credit card (automatic)",
         "18.95",
         "326.8",
         "No"
        ],
        [
         "12",
         "8091-TTVAX",
         "Male",
         "0",
         "Yes",
         "No",
         "58",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "No",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "One year",
         "No",
         "Credit card (automatic)",
         "100.35",
         "5681.1",
         "No"
        ],
        [
         "13",
         "0280-XJGEX",
         "Male",
         "0",
         "No",
         "No",
         "49",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "Yes",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Bank transfer (automatic)",
         "103.7",
         "5036.3",
         "Yes"
        ],
        [
         "14",
         "5129-JLPIS",
         "Male",
         "0",
         "No",
         "No",
         "25",
         "Yes",
         "No",
         "Fiber optic",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "105.5",
         "2686.05",
         "No"
        ],
        [
         "15",
         "3655-SNQYZ",
         "Female",
         "0",
         "Yes",
         "Yes",
         "69",
         "Yes",
         "Yes",
         "Fiber optic",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Two year",
         "No",
         "Credit card (automatic)",
         "113.25",
         "7895.15",
         "No"
        ],
        [
         "16",
         "8191-XWSZG",
         "Female",
         "0",
         "No",
         "No",
         "52",
         "Yes",
         "No",
         "No",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "One year",
         "No",
         "Mailed check",
         "20.65",
         "1022.95",
         "No"
        ],
        [
         "17",
         "9959-WOFKT",
         "Male",
         "0",
         "No",
         "Yes",
         "71",
         "Yes",
         "Yes",
         "Fiber optic",
         "Yes",
         "No",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Two year",
         "No",
         "Bank transfer (automatic)",
         "106.7",
         "7382.25",
         "No"
        ],
        [
         "18",
         "4190-MFLUW",
         "Female",
         "0",
         "Yes",
         "Yes",
         "10",
         "Yes",
         "No",
         "DSL",
         "No",
         "No",
         "Yes",
         "Yes",
         "No",
         "No",
         "Month-to-month",
         "No",
         "Credit card (automatic)",
         "55.2",
         "528.35",
         "Yes"
        ],
        [
         "19",
         "4183-MYFRB",
         "Female",
         "0",
         "No",
         "No",
         "21",
         "Yes",
         "No",
         "Fiber optic",
         "No",
         "Yes",
         "Yes",
         "No",
         "No",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "90.05",
         "1862.9",
         "No"
        ],
        [
         "20",
         "8779-QRDMV",
         "Male",
         "1",
         "No",
         "No",
         "1",
         "No",
         "No phone service",
         "DSL",
         "No",
         "No",
         "Yes",
         "No",
         "No",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "39.65",
         "39.65",
         "Yes"
        ],
        [
         "21",
         "1680-VDCWW",
         "Male",
         "0",
         "Yes",
         "No",
         "12",
         "Yes",
         "No",
         "No",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "One year",
         "No",
         "Bank transfer (automatic)",
         "19.8",
         "202.25",
         "No"
        ],
        [
         "22",
         "1066-JKSGK",
         "Male",
         "0",
         "No",
         "No",
         "1",
         "Yes",
         "No",
         "No",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "Month-to-month",
         "No",
         "Mailed check",
         "20.15",
         "20.15",
         "Yes"
        ],
        [
         "23",
         "3638-WEABW",
         "Female",
         "0",
         "Yes",
         "No",
         "58",
         "Yes",
         "Yes",
         "DSL",
         "No",
         "Yes",
         "No",
         "Yes",
         "No",
         "No",
         "Two year",
         "Yes",
         "Credit card (automatic)",
         "59.9",
         "3505.1",
         "No"
        ],
        [
         "24",
         "6322-HRPFA",
         "Male",
         "0",
         "Yes",
         "Yes",
         "49",
         "Yes",
         "No",
         "DSL",
         "Yes",
         "Yes",
         "No",
         "Yes",
         "No",
         "No",
         "Month-to-month",
         "No",
         "Credit card (automatic)",
         "59.6",
         "2970.3",
         "No"
        ],
        [
         "25",
         "6865-JZNKO",
         "Female",
         "0",
         "No",
         "No",
         "30",
         "Yes",
         "No",
         "DSL",
         "Yes",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "Yes",
         "Bank transfer (automatic)",
         "55.3",
         "1530.6",
         "No"
        ],
        [
         "26",
         "6467-CHFZW",
         "Male",
         "0",
         "Yes",
         "Yes",
         "47",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "Yes",
         "No",
         "No",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "99.35",
         "4749.15",
         "Yes"
        ],
        [
         "27",
         "8665-UTDHZ",
         "Male",
         "0",
         "Yes",
         "Yes",
         "1",
         "No",
         "No phone service",
         "DSL",
         "No",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "No",
         "Electronic check",
         "30.2",
         "30.2",
         "Yes"
        ],
        [
         "28",
         "5248-YGIJN",
         "Male",
         "0",
         "Yes",
         "No",
         "72",
         "Yes",
         "Yes",
         "DSL",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Two year",
         "Yes",
         "Credit card (automatic)",
         "90.25",
         "6369.45",
         "No"
        ],
        [
         "29",
         "8773-HHUOZ",
         "Female",
         "0",
         "No",
         "Yes",
         "17",
         "Yes",
         "No",
         "DSL",
         "No",
         "No",
         "No",
         "No",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Mailed check",
         "64.7",
         "1093.1",
         "Yes"
        ],
        [
         "30",
         "3841-NFECX",
         "Female",
         "1",
         "Yes",
         "No",
         "71",
         "Yes",
         "Yes",
         "Fiber optic",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "No",
         "No",
         "Two year",
         "Yes",
         "Credit card (automatic)",
         "96.35",
         "6766.95",
         "No"
        ],
        [
         "31",
         "4929-XIHVW",
         "Male",
         "1",
         "Yes",
         "No",
         "2",
         "Yes",
         "No",
         "Fiber optic",
         "No",
         "No",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Credit card (automatic)",
         "95.5",
         "181.65",
         "No"
        ],
        [
         "32",
         "6827-IEAUQ",
         "Female",
         "0",
         "Yes",
         "Yes",
         "27",
         "Yes",
         "No",
         "DSL",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "No",
         "No",
         "One year",
         "No",
         "Mailed check",
         "66.15",
         "1874.45",
         "No"
        ],
        [
         "33",
         "7310-EGVHZ",
         "Male",
         "0",
         "No",
         "No",
         "1",
         "Yes",
         "No",
         "No",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "Month-to-month",
         "No",
         "Bank transfer (automatic)",
         "20.2",
         "20.2",
         "No"
        ],
        [
         "34",
         "3413-BMNZE",
         "Male",
         "1",
         "No",
         "No",
         "1",
         "Yes",
         "No",
         "DSL",
         "No",
         "No",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "No",
         "Bank transfer (automatic)",
         "45.25",
         "45.25",
         "No"
        ],
        [
         "35",
         "6234-RAAPL",
         "Female",
         "0",
         "Yes",
         "Yes",
         "72",
         "Yes",
         "Yes",
         "Fiber optic",
         "Yes",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "No",
         "Two year",
         "No",
         "Bank transfer (automatic)",
         "99.9",
         "7251.7",
         "No"
        ],
        [
         "36",
         "6047-YHPVI",
         "Male",
         "0",
         "No",
         "No",
         "5",
         "Yes",
         "No",
         "Fiber optic",
         "No",
         "No",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "69.7",
         "316.9",
         "Yes"
        ],
        [
         "37",
         "6572-ADKRS",
         "Female",
         "0",
         "No",
         "No",
         "46",
         "Yes",
         "No",
         "Fiber optic",
         "No",
         "No",
         "Yes",
         "No",
         "No",
         "No",
         "Month-to-month",
         "Yes",
         "Credit card (automatic)",
         "74.8",
         "3548.3",
         "No"
        ],
        [
         "38",
         "5380-WJKOV",
         "Male",
         "0",
         "No",
         "No",
         "34",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "Yes",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "106.35",
         "3549.25",
         "Yes"
        ],
        [
         "39",
         "8168-UQWWF",
         "Female",
         "0",
         "No",
         "No",
         "11",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "No",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Month-to-month",
         "Yes",
         "Bank transfer (automatic)",
         "97.85",
         "1105.4",
         "Yes"
        ],
        [
         "40",
         "8865-TNMNX",
         "Male",
         "0",
         "Yes",
         "Yes",
         "10",
         "Yes",
         "No",
         "DSL",
         "No",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "One year",
         "No",
         "Mailed check",
         "49.55",
         "475.7",
         "No"
        ],
        [
         "41",
         "9489-DEDVP",
         "Female",
         "0",
         "Yes",
         "Yes",
         "70",
         "Yes",
         "Yes",
         "DSL",
         "Yes",
         "Yes",
         "No",
         "No",
         "Yes",
         "No",
         "Two year",
         "Yes",
         "Credit card (automatic)",
         "69.2",
         "4872.35",
         "No"
        ],
        [
         "42",
         "9867-JCZSP",
         "Female",
         "0",
         "Yes",
         "Yes",
         "17",
         "Yes",
         "No",
         "No",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "No internet service",
         "One year",
         "No",
         "Mailed check",
         "20.75",
         "418.25",
         "No"
        ],
        [
         "43",
         "4671-VJLCL",
         "Female",
         "0",
         "No",
         "No",
         "63",
         "Yes",
         "Yes",
         "DSL",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "No",
         "Two year",
         "Yes",
         "Credit card (automatic)",
         "79.85",
         "4861.45",
         "No"
        ],
        [
         "44",
         "4080-IIARD",
         "Female",
         "0",
         "Yes",
         "No",
         "13",
         "Yes",
         "Yes",
         "DSL",
         "Yes",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "No",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "76.2",
         "981.45",
         "No"
        ],
        [
         "45",
         "3714-NTNFO",
         "Female",
         "0",
         "No",
         "No",
         "49",
         "Yes",
         "Yes",
         "Fiber optic",
         "No",
         "No",
         "No",
         "No",
         "No",
         "Yes",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "84.5",
         "3906.7",
         "No"
        ],
        [
         "46",
         "5948-UJZLF",
         "Male",
         "0",
         "No",
         "No",
         "2",
         "Yes",
         "No",
         "DSL",
         "No",
         "Yes",
         "No",
         "No",
         "No",
         "No",
         "Month-to-month",
         "No",
         "Mailed check",
         "49.25",
         "97",
         "No"
        ],
        [
         "47",
         "7760-OYPDY",
         "Female",
         "0",
         "No",
         "No",
         "2",
         "Yes",
         "No",
         "Fiber optic",
         "No",
         "No",
         "No",
         "No",
         "Yes",
         "No",
         "Month-to-month",
         "Yes",
         "Electronic check",
         "80.65",
         "144.15",
         "Yes"
        ],
        [
         "48",
         "7639-LIAYI",
         "Male",
         "0",
         "No",
         "No",
         "52",
         "Yes",
         "Yes",
         "DSL",
         "Yes",
         "No",
         "No",
         "Yes",
         "Yes",
         "Yes",
         "Two year",
         "Yes",
         "Credit card (automatic)",
         "79.75",
         "4217.8",
         "No"
        ],
        [
         "49",
         "2954-PIBKO",
         "Female",
         "0",
         "Yes",
         "Yes",
         "69",
         "Yes",
         "Yes",
         "DSL",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "No",
         "No",
         "Two year",
         "Yes",
         "Credit card (automatic)",
         "64.15",
         "4254.1",
         "No"
        ]
       ],
       "shape": {
        "columns": 21,
        "rows": 7043
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>6840-RESVB</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>24</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>84.80</td>\n",
       "      <td>1990.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>2234-XADUH</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>103.20</td>\n",
       "      <td>7362.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>4801-JZAZL</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>11</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.60</td>\n",
       "      <td>346.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>8361-LTMKD</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>74.40</td>\n",
       "      <td>306.6</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>3186-AJIEK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>66</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>105.65</td>\n",
       "      <td>6844.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      customerID  gender  SeniorCitizen Partner Dependents  tenure  \\\n",
       "0     7590-VHVEG  Female              0     Yes         No       1   \n",
       "1     5575-GNVDE    Male              0      No         No      34   \n",
       "2     3668-QPYBK    Male              0      No         No       2   \n",
       "3     7795-CFOCW    Male              0      No         No      45   \n",
       "4     9237-HQITU  Female              0      No         No       2   \n",
       "...          ...     ...            ...     ...        ...     ...   \n",
       "7038  6840-RESVB    Male              0     Yes        Yes      24   \n",
       "7039  2234-XADUH  Female              0     Yes        Yes      72   \n",
       "7040  4801-JZAZL  Female              0     Yes        Yes      11   \n",
       "7041  8361-LTMKD    Male              1     Yes         No       4   \n",
       "7042  3186-AJIEK    Male              0      No         No      66   \n",
       "\n",
       "     PhoneService     MultipleLines InternetService OnlineSecurity  ...  \\\n",
       "0              No  No phone service             DSL             No  ...   \n",
       "1             Yes                No             DSL            Yes  ...   \n",
       "2             Yes                No             DSL            Yes  ...   \n",
       "3              No  No phone service             DSL            Yes  ...   \n",
       "4             Yes                No     Fiber optic             No  ...   \n",
       "...           ...               ...             ...            ...  ...   \n",
       "7038          Yes               Yes             DSL            Yes  ...   \n",
       "7039          Yes               Yes     Fiber optic             No  ...   \n",
       "7040           No  No phone service             DSL            Yes  ...   \n",
       "7041          Yes               Yes     Fiber optic             No  ...   \n",
       "7042          Yes                No     Fiber optic            Yes  ...   \n",
       "\n",
       "     DeviceProtection TechSupport StreamingTV StreamingMovies        Contract  \\\n",
       "0                  No          No          No              No  Month-to-month   \n",
       "1                 Yes          No          No              No        One year   \n",
       "2                  No          No          No              No  Month-to-month   \n",
       "3                 Yes         Yes          No              No        One year   \n",
       "4                  No          No          No              No  Month-to-month   \n",
       "...               ...         ...         ...             ...             ...   \n",
       "7038              Yes         Yes         Yes             Yes        One year   \n",
       "7039              Yes          No         Yes             Yes        One year   \n",
       "7040               No          No          No              No  Month-to-month   \n",
       "7041               No          No          No              No  Month-to-month   \n",
       "7042              Yes         Yes         Yes             Yes        Two year   \n",
       "\n",
       "     PaperlessBilling              PaymentMethod MonthlyCharges  TotalCharges  \\\n",
       "0                 Yes           Electronic check          29.85         29.85   \n",
       "1                  No               Mailed check          56.95        1889.5   \n",
       "2                 Yes               Mailed check          53.85        108.15   \n",
       "3                  No  Bank transfer (automatic)          42.30       1840.75   \n",
       "4                 Yes           Electronic check          70.70        151.65   \n",
       "...               ...                        ...            ...           ...   \n",
       "7038              Yes               Mailed check          84.80        1990.5   \n",
       "7039              Yes    Credit card (automatic)         103.20        7362.9   \n",
       "7040              Yes           Electronic check          29.60        346.45   \n",
       "7041              Yes               Mailed check          74.40         306.6   \n",
       "7042              Yes  Bank transfer (automatic)         105.65        6844.5   \n",
       "\n",
       "     Churn  \n",
       "0       No  \n",
       "1       No  \n",
       "2      Yes  \n",
       "3       No  \n",
       "4      Yes  \n",
       "...    ...  \n",
       "7038    No  \n",
       "7039    No  \n",
       "7040    No  \n",
       "7041   Yes  \n",
       "7042    No  \n",
       "\n",
       "[7043 rows x 21 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Common\n",
    "from langchain_openai import ChatOpenAI\n",
    "import pandas as pd\n",
    "import os\n",
    "import yaml\n",
    "\n",
    "# Agent\n",
    "from ai_data_science_team.ds_agents import EDAToolsAgent\n",
    "\n",
    "# Helper functions\n",
    "from ai_data_science_team.utils.matplotlib import matplotlib_from_base64\n",
    "from ai_data_science_team.utils.plotly import plotly_from_dict\n",
    "from ai_data_science_team.utils.html import open_html_file_in_browser\n",
    "\n",
    "# Data\n",
    "df = pd.read_csv(\"data/churn_data.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup AI <a id=\"setup\"></a>\n",
    "\n",
    "This section of code sets up the LLM inputs and the logging information. Logging is used to store AI-generated code and files during the AI Data Science Teams processing of files. \n",
    "\n",
    "*Important Note:* This example uses OpenAI's API. But any LLM can be used such as Anthropic or local LLMs with Ollama."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ChatOpenAI(client=<openai.resources.chat.completions.completions.Completions object at 0x7f7a60ac1120>, async_client=<openai.resources.chat.completions.completions.AsyncCompletions object at 0x7f7a60ac3a30>, root_client=<openai.OpenAI object at 0x7f7a803bbf70>, root_async_client=<openai.AsyncOpenAI object at 0x7f7a60ac1180>, model_name='gpt-4o-mini', model_kwargs={}, openai_api_key=SecretStr('**********'))"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# * Setup\n",
    "\n",
    "os.environ[\"OPENAI_API_KEY\"] = yaml.safe_load(open('../credentials.yml'))['openai']\n",
    "\n",
    "llm = ChatOpenAI(model=\"gpt-4o-mini\")\n",
    "llm\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create The Agent <a id=\"create-the-agent\"></a>\n",
    "\n",
    "Run this code to create an agent with `make_data_cleaning_agent()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<ai_data_science_team.ds_agents.eda_tools_agent.EDAToolsAgent object at 0x7f7a31186140>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make a data loader agent\n",
    "exploratory_agent = EDAToolsAgent(\n",
    "    llm, \n",
    "    invoke_react_agent_kwargs={\"recursion_limit\": 10},\n",
    ")\n",
    "exploratory_agent"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Usage\n",
    "\n",
    "Here are several examples of how to use the agent:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### What tools do you have access to? Return a table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---EXPLORATORY DATA ANALYST AGENT----\n",
      "    * RUN REACT TOOL-CALLING AGENT FOR EDA\n",
      "    * POST-PROCESSING EDA RESULTS\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "Here is a table of the tools I have access to:\n",
       "\n",
       "| Tool Name                | Description                                                                                   |\n",
       "|--------------------------|-----------------------------------------------------------------------------------------------|\n",
       "| explain_data             | Provides a detailed narrative summary of a DataFrame, including its shape, types, and stats. |\n",
       "| describe_dataset         | Computes and returns summary statistics for the dataset using pandas' describe() method.      |\n",
       "| visualize_missing        | Conducts missing value analysis and generates visualizations for missing data.                |\n",
       "| correlation_funnel       | Analyzes correlations using a funnel method, binarizing data against a target column.         |\n",
       "| generate_sweetviz_report | Generates an Exploratory Data Analysis (EDA) report using the Sweetviz library.              |"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.invoke_agent(\"What tools do you have access to? Return a table.\")\n",
    "\n",
    "exploratory_agent.get_ai_message(markdown=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get information on one of the agent's tools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---EXPLORATORY DATA ANALYST AGENT----\n",
      "    * RUN REACT TOOL-CALLING AGENT FOR EDA\n",
      "    * POST-PROCESSING EDA RESULTS\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "The correlation funnel tool is designed to analyze the correlation between different features in a dataset, particularly focusing on a specified target variable. Here's an overview of its key components and functionality:\n",
       "\n",
       "### Purpose\n",
       "- The tool aims to identify how various features relate to a target variable, allowing for insights into which features might be influential or predictive in a given context.\n",
       "\n",
       "### Key Parameters\n",
       "1. **target**: \n",
       "   - This is the name of the target column that you want to analyze. The tool looks for columns that start with this target name followed by a double underscore (e.g., 'target__Category1', 'target__Category2').\n",
       "\n",
       "2. **target_bin_index**:\n",
       "   - This can be an integer or a string. If it's an integer, it selects the target level by position from the matching columns. If it's a string (like \"Yes\"), it matches to the suffix of a column name to determine which level of the target to analyze.\n",
       "\n",
       "3. **corr_method**:\n",
       "   - This specifies the method of correlation to use: 'pearson', 'kendall', or 'spearman'. The default method is 'pearson'.\n",
       "\n",
       "4. **n_bins**:\n",
       "   - The number of bins used for binarizing the data. The default is 4, which divides the data into four categories for analysis.\n",
       "\n",
       "5. **thresh_infreq**:\n",
       "   - This threshold determines what constitutes infrequent levels in the data. The default is set at 0.01, meaning any level occurring less than 1% of the time will be treated as infrequent.\n",
       "\n",
       "6. **name_infreq**:\n",
       "   - This is a label that can be applied to infrequent levels, with the default name set as '-OTHER'.\n",
       "\n",
       "### Functionality\n",
       "- The correlation funnel tool helps in visualizing and quantifying how features relate to the target variable, which can be particularly useful in exploratory data analysis (EDA).\n",
       "- It can reveal patterns and relationships that may not be immediately obvious, thus aiding in feature selection and model development.\n",
       "\n",
       "### Use Cases\n",
       "- This tool can be especially useful in fields such as marketing, finance, and healthcare, where understanding the relationship between input features and outcomes is crucial for decision-making.\n",
       "\n",
       "Overall, the correlation funnel tool is a valuable asset in data analysis, providing insights that can guide further analysis and modeling efforts."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.invoke_agent(\"Give me information on the correlation funnel tool.\")\n",
    "\n",
    "exploratory_agent.get_ai_message(markdown=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tool Examples - How to use the agent's tools"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 1: Explain data tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---EXPLORATORY DATA ANALYST AGENT----\n",
      "    * RUN REACT TOOL-CALLING AGENT FOR EDA\n",
      "    * Tool: explain_data\n",
      "    * POST-PROCESSING EDA RESULTS\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "Here are the first 5 rows of the dataset:\n",
       "\n",
       "| customerID   | gender | SeniorCitizen | Partner | Dependents | tenure | PhoneService | MultipleLines     | InternetService | OnlineSecurity | OnlineBackup | DeviceProtection | TechSupport | StreamingTV | StreamingMovies | Contract        | PaperlessBilling | PaymentMethod               | MonthlyCharges | TotalCharges | Churn |\n",
       "|--------------|--------|---------------|---------|------------|--------|--------------|--------------------|-----------------|----------------|--------------|------------------|-------------|-------------|-----------------|------------------|------------------|------------------------------|----------------|--------------|-------|\n",
       "| 7590-VHVEG   | Female | 0             | Yes     | No         | 1      | No           | No phone service    | DSL             | No             | Yes          | No               | No          | No          | No              | Month-to-month   | Yes              | Electronic check             | 29.85          | 29.85        | No    |\n",
       "| 5575-GNVDE   | Male   | 0             | No      | No         | 34     | Yes          | No                 | DSL             | Yes            | No           | Yes              | No          | No          | No              | One year         | No               | Mailed check                  | 56.95          | 1889.5       | No    |\n",
       "| 3668-QPYBK   | Male   | 0             | No      | No         | 2      | Yes          | No                 | DSL             | Yes            | Yes          | No               | No          | No          | No              | Month-to-month   | Yes              | Mailed check                  | 53.85          | 108.15       | Yes   |\n",
       "| 7795-CFOCW   | Male   | 0             | No      | No         | 45     | No           | No phone service    | DSL             | Yes            | No           | Yes              | Yes         | No          | No              | One year         | No               | Bank transfer (automatic)      | 42.30          | 1840.75      | No    |\n",
       "| 9237-HQITU   | Female | 0             | No      | No         | 2      | Yes          | No                 | Fiber optic     | No             | No           | No               | No          | No          | No              | Month-to-month   | Yes              | Electronic check             | 70.70          | 151.65       | Yes   |\n",
       "\n",
       "### Key Attributes:\n",
       "- **customerID**: Unique identifier for each customer.\n",
       "- **gender**: Gender of the customer.\n",
       "- **SeniorCitizen**: Indicates if the customer is a senior citizen (1 for Yes, 0 for No).\n",
       "- **Partner**: Indicates if the customer has a partner (Yes/No).\n",
       "- **Dependents**: Indicates if the customer has dependents (Yes/No).\n",
       "- **tenure**: Number of months the customer has been with the service.\n",
       "- **Churn**: Indicates if the customer has churned (Yes/No)."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.invoke_agent(\n",
    "    user_instructions=\"What are the first 5 rows of the data?\",\n",
    "    data_raw=df,\n",
    ")\n",
    "exploratory_agent.get_ai_message(markdown=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 2: Describe data set tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---EXPLORATORY DATA ANALYST AGENT----\n",
      "    * RUN REACT TOOL-CALLING AGENT FOR EDA\n",
      "    * Tool: describe_dataset\n",
      "    * POST-PROCESSING EDA RESULTS\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "Summary statistics for the dataset have been computed. If you need specific details about the statistics, please let me know!"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.invoke_agent(\n",
    "    user_instructions=\"Describe the dataset.\",\n",
    "    data_raw=df,\n",
    ")\n",
    "exploratory_agent.get_ai_message(markdown=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['describe_df'])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artifacts = exploratory_agent.get_artifacts()\n",
    "\n",
    "artifacts.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>...</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>7043</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6531</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>3555</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3641</td>\n",
       "      <td>4933</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6361</td>\n",
       "      <td>3390</td>\n",
       "      <td>3096</td>\n",
       "      <td>3498</td>\n",
       "      <td>...</td>\n",
       "      <td>3095</td>\n",
       "      <td>3473</td>\n",
       "      <td>2810</td>\n",
       "      <td>2785</td>\n",
       "      <td>3875</td>\n",
       "      <td>4171</td>\n",
       "      <td>2365</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11</td>\n",
       "      <td>5174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.162147</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.371149</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.761692</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.368612</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.559481</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.090047</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.350000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.850000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118.750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        customerID gender  SeniorCitizen Partner Dependents       tenure  \\\n",
       "count         7043   7043    7043.000000    7043       7043  7043.000000   \n",
       "unique        7043      2            NaN       2          2          NaN   \n",
       "top     7590-VHVEG   Male            NaN      No         No          NaN   \n",
       "freq             1   3555            NaN    3641       4933          NaN   \n",
       "mean           NaN    NaN       0.162147     NaN        NaN    32.371149   \n",
       "std            NaN    NaN       0.368612     NaN        NaN    24.559481   \n",
       "min            NaN    NaN       0.000000     NaN        NaN     0.000000   \n",
       "25%            NaN    NaN       0.000000     NaN        NaN     9.000000   \n",
       "50%            NaN    NaN       0.000000     NaN        NaN    29.000000   \n",
       "75%            NaN    NaN       0.000000     NaN        NaN    55.000000   \n",
       "max            NaN    NaN       1.000000     NaN        NaN    72.000000   \n",
       "\n",
       "       PhoneService MultipleLines InternetService OnlineSecurity  ...  \\\n",
       "count          7043          7043            7043           7043  ...   \n",
       "unique            2             3               3              3  ...   \n",
       "top             Yes            No     Fiber optic             No  ...   \n",
       "freq           6361          3390            3096           3498  ...   \n",
       "mean            NaN           NaN             NaN            NaN  ...   \n",
       "std             NaN           NaN             NaN            NaN  ...   \n",
       "min             NaN           NaN             NaN            NaN  ...   \n",
       "25%             NaN           NaN             NaN            NaN  ...   \n",
       "50%             NaN           NaN             NaN            NaN  ...   \n",
       "75%             NaN           NaN             NaN            NaN  ...   \n",
       "max             NaN           NaN             NaN            NaN  ...   \n",
       "\n",
       "       DeviceProtection TechSupport StreamingTV StreamingMovies  \\\n",
       "count              7043        7043        7043            7043   \n",
       "unique                3           3           3               3   \n",
       "top                  No          No          No              No   \n",
       "freq               3095        3473        2810            2785   \n",
       "mean                NaN         NaN         NaN             NaN   \n",
       "std                 NaN         NaN         NaN             NaN   \n",
       "min                 NaN         NaN         NaN             NaN   \n",
       "25%                 NaN         NaN         NaN             NaN   \n",
       "50%                 NaN         NaN         NaN             NaN   \n",
       "75%                 NaN         NaN         NaN             NaN   \n",
       "max                 NaN         NaN         NaN             NaN   \n",
       "\n",
       "              Contract PaperlessBilling     PaymentMethod MonthlyCharges  \\\n",
       "count             7043             7043              7043    7043.000000   \n",
       "unique               3                2                 4            NaN   \n",
       "top     Month-to-month              Yes  Electronic check            NaN   \n",
       "freq              3875             4171              2365            NaN   \n",
       "mean               NaN              NaN               NaN      64.761692   \n",
       "std                NaN              NaN               NaN      30.090047   \n",
       "min                NaN              NaN               NaN      18.250000   \n",
       "25%                NaN              NaN               NaN      35.500000   \n",
       "50%                NaN              NaN               NaN      70.350000   \n",
       "75%                NaN              NaN               NaN      89.850000   \n",
       "max                NaN              NaN               NaN     118.750000   \n",
       "\n",
       "        TotalCharges Churn  \n",
       "count           7043  7043  \n",
       "unique          6531     2  \n",
       "top                     No  \n",
       "freq              11  5174  \n",
       "mean             NaN   NaN  \n",
       "std              NaN   NaN  \n",
       "min              NaN   NaN  \n",
       "25%              NaN   NaN  \n",
       "50%              NaN   NaN  \n",
       "75%              NaN   NaN  \n",
       "max              NaN   NaN  \n",
       "\n",
       "[11 rows x 21 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(artifacts['describe_df'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 3: Missing data tool\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---EXPLORATORY DATA ANALYST AGENT----\n",
      "    * RUN REACT TOOL-CALLING AGENT FOR EDA\n",
      "    * Tool: visualize_missing\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mdancho/Desktop/course_code/ai-data-science-team/ai_data_science_team/tools/eda.py:130: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  plt.tight_layout()\n",
      "/Users/mdancho/opt/anaconda3/envs/ds4b_301p_dev/lib/python3.10/site-packages/seaborn/matrix.py:309: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding.\n",
      "  ax.set(xlim=(0, self.data.shape[1]), ylim=(0, self.data.shape[0]))\n",
      "/Users/mdancho/opt/anaconda3/envs/ds4b_301p_dev/lib/python3.10/site-packages/seaborn/matrix.py:309: UserWarning: Attempting to set identical low and high ylims makes transformation singular; automatically expanding.\n",
      "  ax.set(xlim=(0, self.data.shape[1]), ylim=(0, self.data.shape[0]))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    * POST-PROCESSING EDA RESULTS\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "The missing data visualizations (matrix plot, bar plot, and heatmap) have been successfully generated. If you need to see the visualizations or further insights, please let me know!"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exploratory_agent.invoke_agent(\n",
    "    user_instructions=\"Visualize missing data in the dataset using the visualize_missing tool.\",\n",
    "    data_raw=df,\n",
    ")\n",
    "\n",
    "exploratory_agent.get_ai_message(markdown=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['matrix_plot', 'bar_plot', 'heatmap_plot'])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# These artifacts are stored in the agent\n",
    "exploratory_agent.get_artifacts().keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 800x600 with 1 Axes>, <Axes: >)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib_from_base64(\n",
    "    exploratory_agent.get_artifacts()['matrix_plot'],\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 800x600 with 1 Axes>, <Axes: >)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib_from_base64(\n",
    "    exploratory_agent.get_artifacts()['bar_plot'],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAoAAAAGHCAYAAAAgIOMGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAcKUlEQVR4nO3d3Y+e5X3g8d91P7YH/MoaMN5AeDN1TEjAvCgIKgUplTarKK3UVYSiSj2o2kqVcrIH+yfsQaX9C1arPU+i5SBKNm1EFEgIBGiAmGAw4cU4LHHSmAyGGY/t8dzXHjwzBrrYDnv9Ljzj+Xyix2TI+PY9zslX12uptdYAAGDdGC72CwAA8MkSgAAA64wABABYZwQgAMA6IwABANYZAQgAsM4IQACAdUYAAgCsMwIQAGCdEYAAAOuMAAQAWGcEIADAOiMAAYBVq9Ya8/PzMTs7G7XWqLXG3Nzc2a9nZ2djbm4uaq0X+1XXlA0X+wUAAD7o38bc4cOH45FHHolvfOMbsbi4GN/85jcjIuKuu+6KZ599NiIi/vqv/zpmZmY+8XddqwQgAJDi7Xfm4n889GgsLi41Pef6qzfHv9u4EF/4whdi9+7dsW/fvnj66acjIuLEiROxZcuWuOGGG+KXv/xl3HrrrXHkyJFYWFgQgB+DAAQAUrx9fC7+8X/+7zixcKrpOd/4+p/FP/7nr8XGjRuj1hpHjhyJ1157LV588cXYtGlTzM/Px0svvRR33nnn2RHAyy+/PONHWDcEIACQppQhorRtMZhMJmdH82qtcfXVV8c//MM/xPbt22NmZia+/vWvx+nTp+OKK66IG2+8MTZt2hSbNm3KeP11QwACAElKlGGIMkwaH/N+QJZSYvv27bF9+/aP/NadO3e2/VnrlAAEAPKUYToK2PSMkvMunJMABADSlDJEGdoCsAjA7gQgAJCilOkUcOsaQCOA/QlAACBNGSZRJm1rAJunkLkgAQgA5CmlfQrXAGB3AhAASDMk7AI2AtifAAQAcpQSpUyilLabQAwB9icAAYA8pTSP4NkF3J8ABADSTA+Ctgt4tROAAECS5dG/xoAzAtifAAQAUpSICCOAa4IABABylOWbQJp38doF3JsABACSlOWr4FqPgTEC2JsABADyuApuTRCAAECajF3ARgD7E4AAQI6yMgVsBHC1E4AAQJ6UKWCbQHoTgABAmlImUYax8RlGAHsTgABAmlJKQsAJwN4EIACQopQSZRhicAzMqicAAYA0ZZhElNYpYGsAexOAAECasrwTuO0hOe/CuQlAACBJiUg5BsYIYG8CEABIkzMFbAiwNwEIAOQokXMQtDng7gQgAJBk+SaQYhfwaicAAYA81gCuCQIQAEhRIqJMhul1cE0PMgLYmwAEAHIsHwHTOgJoCrg/AQgA5ClDwjmAArA3AQgApCnD0LyGz00g/QlAACDJ9C7g0ngXsBHA/gQgAJCoNK/hk3/9CUAAIEeJGIYSw9CYcEYAuxOAAECaMpTmITz9158ABABSrHRb+zEuCrA3AQgApCklYQ2g/utOAAIAaYahNAecg6D7E4AAQI5SpreBNG8CyXkdzk0AAgBppg2YF4C11vj1r38dr732Wtx7770xMzMTTz31VBw7dizuueeeOHDgQFx77bVx++23Gzn8GBy1DQCkKUNp/oxLY5w4cSKWlpai1hoPP/xwbNq0KZ588smYTCZx2223xa9//euYm5uLAwcOxNzc3MX+sdccAQgApClRokQ0fY4dOxaPPPJIHDt2LGqtERFx9dVXx8LCQiwtLcWJEydi165dcfPNN8ff//3fx/PPPx8LCwuf8E+6tpkCBgBSlMiZAt69+5r4ylduO/v1rbfeGk8++WTccccd8cYbb8T8/Hzce++98d5778UjjzwSN9xwQ8zMzDS+/foiAAGAHOX9KeC253z4KJn7778/7r///o/81q997WvLv8X6v49DAAIAeUr+TSDiLp8ABADSlOX7gNueIfh6E4AAQJrpQdACbrUTgABAntJ+lZt+7E8AAgA5yvI1cK0BJwC7E4AAQIrpMTDtU8BFAXYnAAGANKWU5k0g+q8/AQgApClDJBwDowB7E4AAQJpSMg6CznkXzk0AAgB5UtYA0psABABylIgh4S5gU8D9CUAAIE1ZOQqm6SEpr8J5CEAAIEWJSJkCVoD9CUAAIE0ZonkTiBng/gQgAJCkLN8F3PgUAdidAAQAckzngE0BrwECEABIU1J2ASe9DOckAAGANKUs3wbS9JCUV+E8BCAAkKZYA7gmCEAAIEWJrKvgFGBvAhAAyFGS1gAmvQ7n1jpLDwBwVso1bkYAuzMCCACkKcP0LMCmZyS9C+cmAAGANBlTwAqwPwEIACQpKZtAUqaROS8BCACkKCViGErYBLz6CUAAIM1QIobmXcAKsDcBCACkGUr7JpDWEUQuTAACAClKmAJeKwQgAJAmYwTQJpD+BCAAkKNMp28nrWsA9V93AhAASHF2Crj5IGgF2JsABADSTEqJSWO/2QTSnwAEANIMQ9gFvAYIQAAgRYky3QTSfBWcAuxNAAIAOZYPgW4dwTMC2J8ABADSTIYSk2FoeoZjYPoTgABAihLTeGsNOLuA+xOAAECaoZSYNB8EnfQynJMABABylIjJEDGMbY+xBrA/AQgApFiZAm7dBfzBKeRaa7z22mvxyiuvxJ/+6Z/Gli1b4uGHH46ZmZm4995746mnnoodO3bEnXfeae3gx9C2ShMA4ANW7gJu+Zw5cyaOHz8ei4uLUWuNRx99NHbu3BlPPfVUjOMYL774Yrz77rvx6quvxvz8fPziF7+Iubm5i/2jrykCEABIMj0CZoi2zzuzf4gnn3wyZmdnI2I6Crh9+/Y4depU1Frjb//2b+PUqVNx5MiR2Lx5c2zYsCHGsXHeeZ0xBQwApCgxvQqu9SaQa665Jv7D5/ef/fqOO+6IZ555Jvbv3x+vv/56vP766zGZTOK+++6LH/3oR3HNNdfEtm3b2l5+nSm11nqxXwIAWPv+9b1T8d8eeTVOL7WNxj2w58r4T7d/Kumt+ChGAAGAHMu7gCfNu4Bt5uhNAAIAKVamgFvPAXQMTH8CEABIk3ITiBHA7gQgAJBmMkRMqptAVjsBCACkKCWmZ/mNbftL9V9/AhAASDMkHANjCrg/AQgAJFk+CLox4GwC6U8AAgApSkzjb9J4z5gRwP4EIACQZhhKDI13TOi//gQgAJCjJK0BTHodzk0AAgApplPA7WsATQH3JwABgDQZU8A2gfQnAAGANJOhxNh8ELQC7E0AAgBpSrQHnPzrTwACAClWbgKZJDyHvgQgAJCkLE8Bt64BVIC9CUAAIM3KYdDND6ErAQgApFiJv9ZdvIMC7E4AAgBphlKihJtAVjsBCACkGSLhIOicV+E8BCAAkKKU5Z3ArUsAFWB3AhAASDMMJYbmpyjA3gQgAJBmiBJD4xpAV8H1JwABgDRDyVgDqAB7E4AAQIqVa+Cs4Vv9BCAAkGYo0bwG0BRwfwIQAEgzlIihsQCNIPYnAAGANKaA1wYBCACkmMZfiaG03gSiIHsTgABAmklE1MZdvO3nCHIhAhAASLNyGwirmwAEANIMpSRcBacgexOAAECKEisB6CaQ1U4AAgBpSsJNIPQnAAGANEOJqK1XwQnI7gQgAJCilIghStTWKeCk9+HcBCAAkKaUiMb+4xMgAAGANEMpURuH8GwC6U8AAgBphtJ+ELSDBPsTgABAihI5U8Dyrz8BCACkmSQU4AengGutcejQoXjllVfii1/8YmzZsiUef/zxWFpaiv3798cPf/jD2LNnT9x99912D38MNtoAAEnK9D+l7TP7h9n42c9+FrOzs1FrjZ/+9Kdx7bXXxtNPPx2TyST2798fb731Vhw9ejTefPPNmJubi1rtPPk4BCAAkGblLuCWz+WXXx7XXXddXHbZZWefOzMzE6dPn47FxcU4dOhQ7Nq1K/7kT/4k/u7v/i5eeumlOHny5EX8qdceU8AAQIrpLSARrav4Nm++LD595VURMZ0Cvueee+LgwYNx++23x+HDh+P555+PXbt2xe9///v4l3/5l/jsZz/7oVjkwko1ZgoAJFhYXIrnf3M8lhrT4t9vvyxu2rkl6a34KEYAAYA0K7eBND0j6V04NwEIAKQZSoloHAEc7ObtTgACAClKLI/+6bdVTwACAGlKmR4G0/QMBdmdAAQA0kyGiBjbnuEu4P4EIACQYmX0b3AX3KonAAGANDlTwPQmAAGANAlXAfMJEIAAQJrpXcBtBWgTSH8CEABIUyJhClj/dScAAYA0xTGAa4IABADSlGg/xsUIYH/DxX4BAODSUEK8rRVGAAGANBnnAGrI/gQgAJCkTEcAq3MAVztTwABAmpR4U4DdGQEEANKU0j66pP/6E4AAQJpy9pfGZ9CVAAQAUjgDcO0QgABAmqGUGGvjLmBnyXQnAAGAPMVdvmuBAAQA0lgDuDYIQAAgzRARY+MzBGB/AhAAyFNKlMY1gAqwPwEIAKR4/y5gN4GsdgIQAEgzRPNNcArwE+AqOAAgT0K86b/+jAACAGkyRgAFYH8CEABII97WBlPAAECehFs83ATSnxFAACBFKRFDiah2Aa96AhAASJNxEwj9CUAAIJX+W/0EIACQZigRzReBKMjuBCAAkCZjClj/9ScAAYA0dvCuDQIQAEhx9i5gU8CrngAEANKYAl4bBCAAkCYn3iRgbwIQAEhTSmnOt3/7+5eWluLMmTOxadOms1+P4xgbN26MxcXFGIYhNmyQNB+Hvy0AIE1JOAbmgwVYa41//ud/jqNHj8YDDzwQN954Y3z729+OkydPxgMPPBCPPvpoXH755fHggw/Gxo0bG//g9cNdwABAqhK16fP2sWPxk5/8JN5+++0YxzGOHj0aX/rSl+LQoUMxNzcXpZTYt29fPPHEE7Fv376IiJifn7/IP/XaYgQQAEhTao3aOAS4bevW+MxnPhNbt26NYRhiMpnECy+8EBs3box33nkn5ubm4o033ojrr78+3njjjThx4sTZ6WH+OKW2/r8EABAR4zjG6ZMLzc+ZbNgQGzfNRMR0Cnh2djaOHj0a1157bdRaY2FhIebn5+Omm26Kw4cPx+bNm+NTn/qUMwg/BgEIAKQYxzFOL5yI1oMAJxs3nQ1A+jAFDAAkqVFibD8I2thUdwIQAMhTa3MAJjyACxCAAECejNE7/dedAAQActTlX4wArnoCEADIU2vCKKAA7E0AAgApSiyfA9gacDaBdCcAAYAkNaKOUZpH8ARgbwIQAEiUMAWs/7oTgABAnjpaA7gGCEAAIE+t0Rxw1gB2JwABgCTL8WcEcNUTgABAjhoRY8IUsP7rTgACAGkyjoFp30XMhQhAACBRjVLHxkcIwN4EIACQx00ga4IABADypAQgvQlAACBJjYgxHAOz+glAACBPnV4H1/iQlFfh3AQgAJCmZEwB67/uBCAAkChhClgBdicAAYAcK6N/joFZ9QQgAJDHMTBrggAEABKNNoGsAQIQAEiTchWcKeDuBCAAkKdWAbcGCEAAIMnyBpDRJpDVbrjYLwAAXEK025pgBBAAyFMTNoEYAexOAAIAOeryL46BWfUEIACQpjgIek0QgABAkpX4MwK42glAACBPxgigAOxOAAIAiRLWAOq/7gQgAJBnXIraOAJYmkcQuRABCAAkqdP4cxD0qicAAYAcNZbXAAq41U4AAgB5xjFiXGp7hing7gQgAJCkuglkjRCAAECaOravASwCsDsBCADkqLE8BdwWgPU8AXjq1Kl49dVX47rrrosdO3bE3NxcHD58OK677ro4efJkHD16NPbs2RM7duxoeodLnQAEAPJkbAKpNcZxjFJKlFI+FISPP/54LCwsxHPPPRd/9Vd/FadOnYqFhYX47ne/G5dffnnMzs7Gpz/96cYf4tInAAGAJDVlE8hv3nornn7qxbj//vtj9+7d8dxzz8XLL78cGzZsiHfeeSe++tWvxve///0YxzGuuOKKeO+992Lfvn1x8803xyuvvBJPPPFE/MVf/EWUUpJ+rktPqecbZwUA+CPVk3Ox9OJjURsDcNh1Uwyf/uz7z6317CjgoUOH4mc/+1lcf/31cdVVV0WtNb773e/GV7/61ZhMJvHiiy/G3r1745577hGA5yEAAYAU9eRcnDn444ilxgDcfXNMrv/cR/8ZtcapU6di06ZNMS6vNTx9+nRs2LAhSimxtLQUMzMz4u8CTAEDADlWNoF0PAamlBKXXXZZREQMwxARERs2vJ8zGzdubPuz1wkBCAAkWZ6qdQ7gqicAAYA8CXcBW53WnwAEAPKMSwkjgK6C600AAgA5Vs4AbBwBpD8BCACkqeOYchA0fQlAACBFjZiO/jUeA2MKuD8BCADkqX2PgSGHAAQAcqys/2tdAygAuxOAAECeOkY1ArjqCUAAIE1d2Qnc+gy6EoAAQJKVKeDWTSACsDcBCADkqQnHwIQA7E0AAgA5akzXADaPADoGpjcBCAAkqUkHQee8DecmAAGAPLU2j+DZBNKfAAQA8qScA2gKuDcBCADkqUsJAWcEsDcBCADkqDXqWN0EsgYIQAAgT8YU8CgAexOAAECemhCApoC7E4AAQJLlHcDuAl71BCAAkKPG9BxAawBXPQEIAOSpNapzAFc9AQgApMm5CUQA9iYAAYAky1fBLRkBXO0EIACQo8byFLARwNVOAAIAKWpE1KUatXEEUAD2JwABgDS1tq8BNAXcnwAEAHLUiBiXr4NrfQ5dCUAAIMk0/mrjOYBGAPsTgABAmulB0DaBrHYCEADIsXwTSPMIYGtAckECEABIkzEFbASwPwEIAKSoMb0GrnkE0C6Q7gQgAJBnrO1rAE0BdycAAYAcWWsATQF3JwABgDTVOYBrggAEAJIs3wPsLuBVTwACADlqRF0am+8CNgXc33CxXwAAuHTUWlM+53Ly5Ml49tln4w9/+ENERBw/fjyeeOKJePPNN+Pdd9+NZ555Jubm5kTkBQhAACDPWM+OAv5/f8YaS0tLHwrCcRxjHMd47LHH4u23347vfe97MY5jHDlyJH784x/He++9Fz/4wQ/inXfeiYcffvhi/y2segIQAEhRY/kWj8bP0d/8Jr7zne/Eb3/724iIeO655+Jb3/pWPPTQQ3HkyJG47bbbYnFxMZaWluKWW26JBx98MB577LF4991343Of+1zMzc1d3L+INaBUY6QAQILFY7+Nf/3v/zXq4umm52y9989ix3988EP/biVXfvWrX8VPf/rTuPnmm+OKK66Ibdu2xbPPPhtbt26NK6+8Ml544YW4884746677opSStN7XMpsAgEA8tSEq+Ci/j/xtvL1Zz7zmdizZ09MJpOodfp9N954Y0wmkyilxN133x0bNmwQfxcgAAGANHVpbL7J43yTk6WU2Lhx44f+3TC8v6Lt3/5vfDQBCADkqMsHQTceAxOtA4hckAAEANJc6BiXP/YZ9CUAAYAkNeUuYDeB9CcAAYA0GXcBGwHsTwACAClqjQgjgGuCAAQA0mRMARsB7E8AAgBJljeAtAacAOxOAAIAOVaOgTEFvOoJQAAgzzgmbAJJehfOSQACAGlSDoJWgN0JQAAgyco5gI0jgI2/nwsTgABAjqQ1gHYB9ycAAYAUNXKugqM/AQgApKlLY0TrFK4p4O4EIACQo0bEWKMuuQputROAAECa6TnQrQdB57wL5yYAAYAkNcalMcbGY2CMAPYnAAGAHNNdIM0jeAKwPwEIAKSpY8I5fvqvOwEIAKSoETGONcbmq+AUYG8CEADIM2YcA5PzKpybAAQActScKWAjgP0JQAAgTU04B9AawP4EIACQpEa1BnBNEIAAQI66PP3bHIBJ78M5CUAAIE3GCKAC7E8AAgAppudA1+YpXP3XnwAEAHIs7wJuPsZFAXYnAAGANCl3AbdOIXNBAhAAyGMKeE0QgABAkhp1KRLOAVSAvQlAACDH2WNgGh+j/7oTgABAmlpr+xo+BdidAAQAUtRYOQewdRNIzvtwbgIQAMixMgXcPIBnBLA3AQgApEm5C9gIYHcCEABIU8favAu49RgZLkwAAgA5ljeA1MY1gGaA+xOAAECajGNg7ALuTwACACne3wXcbw3giRMn4sCBA3HLLbfEVVddFbOzs/HLX/4yNm/eHFdeeWW8+eab8fnPfz527tzZ9A6XuuFivwAAcOmo4/I6wIbP/Px8vP766zE/Px+1To+VOXPmTCwtLcVPfvKTOHXqVHz/+9+PWmts3rw5duzYEQcPHoznnnsuXn755VhcXLSO8AKMAAIAOWpErWPzFO7p06djdnb27CjegQMH4uWXX44NGzbE8ePH48tf/nK89tprcebMmZiZmYm33nor7rvvvti9e3ccPnw4Hn/88fjLv/zLjJ/okiUAAYA0dYzmKeAdO3bEvrvvnj6v1ti/f3/ccccdERHx+uuvxw9+8IPYu3dvvPDCC7F37944c+ZM3HTTTXHw4ME4ePDg2e/l3AQgAJBmZRq36Rkf+O2llA/9c8+ePXHTTTfFMAxRa41SSvz5n/95lFLijjvuiNtvvz2GYTj7/Xw0AQgA5Kg1IuEcwDhPQJZSYjKZnP3vH/VPLkwAAgBppsfANAagDRzdCUAAIEXaMTD6rzsBCADkqPlrAOlDAAIAaeoY7TeBtE4hc0ECEABIM9YaY+MQnvzrTwACAGlqrc23cFQJ2J0ABABS1JjO3raeAmMNYH8CEABIsxTtSwD1X38CEADIsTz927wGUAF2JwABgBQrU8Ctm3hHY4DdCUAAII0p4LVBAAIAaUwBrw0CEABIUWO6A7h5F3DK23A+AhAASDNdB2gEcLUTgABAmqVa22+CMwbYnQAEAFJk7QKWf/0JQAAgzUoENj1DAXYnAAGANEu1fQpX//UnAAGAFLVON4C07gJuHUHkwgQgAJBmjPYpXP3XnwAEANKMdboTuIUA7E8AAgApVs4AbL4Kzi6Q7gQgAJDGMTBrgwAEANKM0X4TiE0g/QlAACBNyhSwMcDuBCAAkMJNIGuHAAQA0oxR23cBK8DuBCAAkKPW6Qhg62NSXobzEYAAQIoaywdBJzyHvgQgAJBmrLV5F7Ap4P4EIACQZmUjSNszFGBvAhAASFEjYqlON4K0aF1DyIUJQAAgzVhrLLWOABoA7E4AAgBparQHnP7rTwACAClWpoCdA7j6CUAAIE3GVXCtawi5MAEIAKQZw1Vwa4EABABSvH8XsCng1U4AAgA5as4U8Pn6r36gDkspH/r6g0opjW9xaROAAECaMaLrMTC/+93v4qGHHoq/+Zu/ic2bN8exY8fin/7pn+KGG26IK6+8Mn7+85/HfffdF3v37hWB5yEAAYAUG2Y2xe5bb4nTCyebnlO2XhaHDh2K6667LrZs2RK///3vY3Z2NoZhiGuvvTa2bdsWZ86ciYiIAwcOxF133RVPPvlkvPzyy/GVr3wlHn300di7d2/Gj3TJEoAAQIqd138q/stj/6t5Ed/cifn4P7/5TYzjdDL55MmTcfz48ZhMJrFr165YWFiI+fn5WFxcjI0bN8bbb78dtdaYmZmJ3/3ud7Fp06aMH+eSVuq5Js8BAFaZ2dnZ+NGPfhR79uyJrVu3xtVXXx3PPPNM3HDDDbFt27azI4I7d+40BXweAhAAYJ0ZLvYLAADwyRKAAADrjAAEAFhnBCAAwDojAAEA1hkBCACwzghAAIB1RgACAKwzAhAAYJ0RgAAA64wABABYZwQgAMA6IwABANYZAQgAsM78X6NreduDGpYAAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 800x600 with 1 Axes>, <Axes: >)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib_from_base64(\n",
    "    exploratory_agent.get_artifacts()['heatmap_plot'],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 4: Correlation Funnel Tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---EXPLORATORY DATA ANALYST AGENT----\n",
      "    * RUN REACT TOOL-CALLING AGENT FOR EDA\n",
      "    * Tool: correlation_funnel\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mdancho/opt/anaconda3/envs/ds4b_301p_dev/lib/python3.10/site-packages/polars/_cpu_check.py:232: RuntimeWarning: Missing required CPU features.\n",
      "\n",
      "The following required CPU features were not detected:\n",
      "    avx, fma\n",
      "Continuing to use this version of Polars on this processor will likely result in a crash.\n",
      "Install the `polars-lts-cpu` package instead of `polars` to run Polars with better compatibility.\n",
      "\n",
      "Hint: If you are on an Apple ARM machine (e.g. M1) this is likely due to running Python under Rosetta.\n",
      "It is recommended to install a native version of Python that does not run under Rosetta x86-64 emulation.\n",
      "\n",
      "If you believe this warning to be a false positive, you can set the `POLARS_SKIP_CPU_CHECK` environment variable to bypass this check.\n",
      "\n",
      "/Users/mdancho/opt/anaconda3/envs/ds4b_301p_dev/lib/python3.10/site-packages/plotnine/ggplot.py:587: PlotnineWarning: Saving 7 x 6.0 in image.\n",
      "/Users/mdancho/opt/anaconda3/envs/ds4b_301p_dev/lib/python3.10/site-packages/plotnine/ggplot.py:588: PlotnineWarning: Filename: <_io.BytesIO object at 0x7feaa9da6700>\n",
      "/Users/mdancho/opt/anaconda3/envs/ds4b_301p_dev/lib/python3.10/site-packages/plotnine/layer.py:364: PlotnineWarning: geom_point : Removed 2 rows containing missing values.\n",
      "/Users/mdancho/opt/anaconda3/envs/ds4b_301p_dev/lib/python3.10/site-packages/plotnine/layer.py:364: PlotnineWarning: geom_text : Removed 2 rows containing missing values.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    * POST-PROCESSING EDA RESULTS\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "The correlation funnel analysis has been successfully computed using the Pearson method for the target level 'Churn__Yes'. The base target was 'Churn'. If you need further insights or visualizations from this analysis, please let me know!"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.invoke_agent(\n",
    "    user_instructions=\"Use the correlation funnel tool to analyze the dataset. Use the Churn feature as the target. Use Churn=Yes as the bin index to compare against.\",\n",
    "    data_raw=df,\n",
    ")\n",
    "exploratory_agent.get_ai_message(markdown=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['correlation_data', 'plot_image', 'plotly_figure'])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.get_artifacts().keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>bin</th>\n",
       "      <th>correlation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Churn</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Churn</td>\n",
       "      <td>No</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Contract</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>0.405103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>OnlineSecurity</td>\n",
       "      <td>No</td>\n",
       "      <td>0.342637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TechSupport</td>\n",
       "      <td>No</td>\n",
       "      <td>0.337281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tenure</td>\n",
       "      <td>0.0_9.0</td>\n",
       "      <td>0.314720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>InternetService</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>0.308020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Contract</td>\n",
       "      <td>Two year</td>\n",
       "      <td>-0.302253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>PaymentMethod</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>0.301919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>OnlineBackup</td>\n",
       "      <td>No</td>\n",
       "      <td>0.268005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DeviceProtection</td>\n",
       "      <td>No</td>\n",
       "      <td>0.252481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>tenure</td>\n",
       "      <td>55.0_72.0</td>\n",
       "      <td>-0.245136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>OnlineBackup</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>-0.227890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>TechSupport</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>-0.227890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>OnlineSecurity</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>-0.227890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>InternetService</td>\n",
       "      <td>No</td>\n",
       "      <td>-0.227890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>DeviceProtection</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>-0.227890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>StreamingMovies</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>-0.227890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>StreamingTV</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>-0.227890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MonthlyCharges</td>\n",
       "      <td>18.2_35.5</td>\n",
       "      <td>-0.200156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>PaperlessBilling</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.191825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>PaperlessBilling</td>\n",
       "      <td>No</td>\n",
       "      <td>-0.191825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Contract</td>\n",
       "      <td>One year</td>\n",
       "      <td>-0.177820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>OnlineSecurity</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.171226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>TechSupport</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.164674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Dependents</td>\n",
       "      <td>No</td>\n",
       "      <td>0.164221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Dependents</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.164221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SeniorCitizen</td>\n",
       "      <td>1</td>\n",
       "      <td>0.150889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SeniorCitizen</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.150889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Partner</td>\n",
       "      <td>No</td>\n",
       "      <td>0.150448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Partner</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.150448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>MonthlyCharges</td>\n",
       "      <td>70.3_89.8</td>\n",
       "      <td>0.143243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>PaymentMethod</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>-0.134302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>StreamingMovies</td>\n",
       "      <td>No</td>\n",
       "      <td>0.130845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>StreamingTV</td>\n",
       "      <td>No</td>\n",
       "      <td>0.128916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>InternetService</td>\n",
       "      <td>DSL</td>\n",
       "      <td>-0.124214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>PaymentMethod</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>-0.117937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>tenure</td>\n",
       "      <td>29.0_55.0</td>\n",
       "      <td>-0.098951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>PaymentMethod</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>-0.091683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>MonthlyCharges</td>\n",
       "      <td>89.8_118.8</td>\n",
       "      <td>0.082833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>OnlineBackup</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.082255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>DeviceProtection</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.066160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>StreamingTV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.063228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>StreamingMovies</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.061382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>MultipleLines</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.040102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>MultipleLines</td>\n",
       "      <td>No</td>\n",
       "      <td>-0.032569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>MonthlyCharges</td>\n",
       "      <td>35.5_70.3</td>\n",
       "      <td>-0.025702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>tenure</td>\n",
       "      <td>9.0_29.0</td>\n",
       "      <td>0.023145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>PhoneService</td>\n",
       "      <td>No</td>\n",
       "      <td>-0.011942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>MultipleLines</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>-0.011942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>PhoneService</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.011942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>gender</td>\n",
       "      <td>Male</td>\n",
       "      <td>-0.008612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>gender</td>\n",
       "      <td>Female</td>\n",
       "      <td>0.008612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>customerID</td>\n",
       "      <td>-OTHER</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>TotalCharges</td>\n",
       "      <td>-OTHER</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             feature                        bin  correlation\n",
       "0              Churn                        Yes     1.000000\n",
       "1              Churn                         No    -1.000000\n",
       "2           Contract             Month-to-month     0.405103\n",
       "3     OnlineSecurity                         No     0.342637\n",
       "4        TechSupport                         No     0.337281\n",
       "5             tenure                    0.0_9.0     0.314720\n",
       "6    InternetService                Fiber optic     0.308020\n",
       "7           Contract                   Two year    -0.302253\n",
       "8      PaymentMethod           Electronic check     0.301919\n",
       "9       OnlineBackup                         No     0.268005\n",
       "10  DeviceProtection                         No     0.252481\n",
       "11            tenure                  55.0_72.0    -0.245136\n",
       "12      OnlineBackup        No internet service    -0.227890\n",
       "13       TechSupport        No internet service    -0.227890\n",
       "14    OnlineSecurity        No internet service    -0.227890\n",
       "15   InternetService                         No    -0.227890\n",
       "16  DeviceProtection        No internet service    -0.227890\n",
       "17   StreamingMovies        No internet service    -0.227890\n",
       "18       StreamingTV        No internet service    -0.227890\n",
       "19    MonthlyCharges                  18.2_35.5    -0.200156\n",
       "20  PaperlessBilling                        Yes     0.191825\n",
       "21  PaperlessBilling                         No    -0.191825\n",
       "22          Contract                   One year    -0.177820\n",
       "23    OnlineSecurity                        Yes    -0.171226\n",
       "24       TechSupport                        Yes    -0.164674\n",
       "25        Dependents                         No     0.164221\n",
       "26        Dependents                        Yes    -0.164221\n",
       "27     SeniorCitizen                          1     0.150889\n",
       "28     SeniorCitizen                          0    -0.150889\n",
       "29           Partner                         No     0.150448\n",
       "30           Partner                        Yes    -0.150448\n",
       "31    MonthlyCharges                  70.3_89.8     0.143243\n",
       "32     PaymentMethod    Credit card (automatic)    -0.134302\n",
       "33   StreamingMovies                         No     0.130845\n",
       "34       StreamingTV                         No     0.128916\n",
       "35   InternetService                        DSL    -0.124214\n",
       "36     PaymentMethod  Bank transfer (automatic)    -0.117937\n",
       "37            tenure                  29.0_55.0    -0.098951\n",
       "38     PaymentMethod               Mailed check    -0.091683\n",
       "39    MonthlyCharges                 89.8_118.8     0.082833\n",
       "40      OnlineBackup                        Yes    -0.082255\n",
       "41  DeviceProtection                        Yes    -0.066160\n",
       "42       StreamingTV                        Yes     0.063228\n",
       "43   StreamingMovies                        Yes     0.061382\n",
       "44     MultipleLines                        Yes     0.040102\n",
       "45     MultipleLines                         No    -0.032569\n",
       "46    MonthlyCharges                  35.5_70.3    -0.025702\n",
       "47            tenure                   9.0_29.0     0.023145\n",
       "48      PhoneService                         No    -0.011942\n",
       "49     MultipleLines           No phone service    -0.011942\n",
       "50      PhoneService                        Yes     0.011942\n",
       "51            gender                       Male    -0.008612\n",
       "52            gender                     Female     0.008612\n",
       "53        customerID                     -OTHER          NaN\n",
       "54      TotalCharges                     -OTHER          NaN"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(exploratory_agent.get_artifacts()['correlation_data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 600,
       "width": 800
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 800x600 with 1 Axes>, <Axes: >)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib_from_base64(exploratory_agent.get_artifacts()['plot_image'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "customdata": [
          [
           "Yes"
          ],
          [
           "No"
          ],
          [
           "Month-to-month"
          ],
          [
           "No"
          ],
          [
           "No"
          ],
          [
           "0.0_9.0"
          ],
          [
           "Fiber optic"
          ],
          [
           "Two year"
          ],
          [
           "Electronic check"
          ],
          [
           "No"
          ],
          [
           "No"
          ],
          [
           "55.0_72.0"
          ],
          [
           "No internet service"
          ],
          [
           "No internet service"
          ],
          [
           "No internet service"
          ],
          [
           "No"
          ],
          [
           "No internet service"
          ],
          [
           "No internet service"
          ],
          [
           "No internet service"
          ],
          [
           "18.2_35.5"
          ],
          [
           "Yes"
          ],
          [
           "No"
          ],
          [
           "One year"
          ],
          [
           "Yes"
          ],
          [
           "Yes"
          ],
          [
           "No"
          ],
          [
           "Yes"
          ],
          [
           "1"
          ],
          [
           "0"
          ],
          [
           "No"
          ],
          [
           "Yes"
          ],
          [
           "70.3_89.8"
          ],
          [
           "Credit card (automatic)"
          ],
          [
           "No"
          ],
          [
           "No"
          ],
          [
           "DSL"
          ],
          [
           "Bank transfer (automatic)"
          ],
          [
           "29.0_55.0"
          ],
          [
           "Mailed check"
          ],
          [
           "89.8_118.8"
          ],
          [
           "Yes"
          ],
          [
           "Yes"
          ],
          [
           "Yes"
          ],
          [
           "Yes"
          ],
          [
           "Yes"
          ],
          [
           "No"
          ],
          [
           "35.5_70.3"
          ],
          [
           "9.0_29.0"
          ],
          [
           "No"
          ],
          [
           "No phone service"
          ],
          [
           "Yes"
          ],
          [
           "Male"
          ],
          [
           "Female"
          ],
          [
           "-OTHER"
          ],
          [
           "-OTHER"
          ]
         ],
         "hoverlabel": {
          "font": {
           "size": 8.8
          }
         },
         "hovertemplate": "correlation=%{x:.3f}<br>feature=%{y}<br>bin=%{customdata[0]}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#2c3e50",
          "opacity": 1,
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "",
         "orientation": "h",
         "showlegend": false,
         "text": [
          "Yes",
          "No",
          "Month-to-month",
          "No",
          "No",
          "0.0_9.0",
          "Fiber optic",
          "Two year",
          "Electronic check",
          "No",
          "No",
          "55.0_72.0",
          "No internet service",
          "No internet service",
          "No internet service",
          "No",
          "No internet service",
          "No internet service",
          "No internet service",
          "18.2_35.5",
          "Yes",
          "No",
          "One year",
          "Yes",
          "Yes",
          "No",
          "Yes",
          "1",
          "0",
          "No",
          "Yes",
          "70.3_89.8",
          "Credit card (automatic)",
          "No",
          "No",
          "DSL",
          "Bank transfer (automatic)",
          "29.0_55.0",
          "Mailed check",
          "89.8_118.8",
          "Yes",
          "Yes",
          "Yes",
          "Yes",
          "Yes",
          "No",
          "35.5_70.3",
          "9.0_29.0",
          "No",
          "No phone service",
          "Yes",
          "Male",
          "Female",
          "-OTHER",
          "-OTHER"
         ],
         "type": "scatter",
         "x": [
          1,
          -1,
          0.40510291068798926,
          0.3426367998511221,
          0.3372807277351968,
          0.31472024996246134,
          0.30801974494482237,
          -0.30225346934965014,
          0.30191874901128474,
          0.26800518096235976,
          0.2524813605956849,
          -0.24513553080783643,
          -0.22789044975609346,
          -0.22789044975609346,
          -0.22789044975609346,
          -0.22789044975609346,
          -0.22789044975609346,
          -0.22789044975609346,
          -0.22789044975609346,
          -0.20015627835397673,
          0.19182533166646773,
          -0.19182533166646773,
          -0.17782001834990777,
          -0.1712262919485525,
          -0.16467355590159344,
          0.164221401579725,
          -0.16422140157972498,
          0.1508893281764733,
          -0.15088932817647285,
          0.1504475449591766,
          -0.15044754495917656,
          0.14324312760138685,
          -0.1343017506626284,
          0.1308450293861676,
          0.1289158811151086,
          -0.12421382390260378,
          -0.11793667192853863,
          -0.09895059463389026,
          -0.09168283858842924,
          0.08283310614930224,
          -0.08225486893814243,
          -0.0661597912802898,
          0.06322774611875738,
          0.061381548015187117,
          0.04010212769982616,
          -0.03256857845019147,
          -0.025702112923635764,
          0.023144777258899647,
          -0.011941980029002972,
          -0.011941980029002972,
          0.011941980029002963,
          -0.00861209507899787,
          0.00861209507899787,
          null,
          null
         ],
         "xaxis": "x",
         "y": [
          "Churn",
          "Churn",
          "Contract",
          "OnlineSecurity",
          "TechSupport",
          "tenure",
          "InternetService",
          "Contract",
          "PaymentMethod",
          "OnlineBackup",
          "DeviceProtection",
          "tenure",
          "OnlineBackup",
          "TechSupport",
          "OnlineSecurity",
          "InternetService",
          "DeviceProtection",
          "StreamingMovies",
          "StreamingTV",
          "MonthlyCharges",
          "PaperlessBilling",
          "PaperlessBilling",
          "Contract",
          "OnlineSecurity",
          "TechSupport",
          "Dependents",
          "Dependents",
          "SeniorCitizen",
          "SeniorCitizen",
          "Partner",
          "Partner",
          "MonthlyCharges",
          "PaymentMethod",
          "StreamingMovies",
          "StreamingTV",
          "InternetService",
          "PaymentMethod",
          "tenure",
          "PaymentMethod",
          "MonthlyCharges",
          "OnlineBackup",
          "DeviceProtection",
          "StreamingTV",
          "StreamingMovies",
          "MultipleLines",
          "MultipleLines",
          "MonthlyCharges",
          "tenure",
          "PhoneService",
          "MultipleLines",
          "PhoneService",
          "gender",
          "gender",
          "customerID",
          "TotalCharges"
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "autosize": true,
        "font": {
         "size": 11
        },
        "legend": {
         "font": {
          "size": 8.8
         },
         "title": {
          "font": {
           "size": 8.8
          }
         },
         "tracegroupgap": 0
        },
        "margin": {
         "b": 40,
         "l": 10,
         "r": 10,
         "t": 40
        },
        "showlegend": false,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "white",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "white",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "#C8D4E3",
             "linecolor": "#C8D4E3",
             "minorgridcolor": "#C8D4E3",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "#C8D4E3",
             "linecolor": "#C8D4E3",
             "minorgridcolor": "#C8D4E3",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "white",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "#C8D4E3"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "white",
          "polar": {
           "angularaxis": {
            "gridcolor": "#EBF0F8",
            "linecolor": "#EBF0F8",
            "ticks": ""
           },
           "bgcolor": "white",
           "radialaxis": {
            "gridcolor": "#EBF0F8",
            "linecolor": "#EBF0F8",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           },
           "yaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           },
           "zaxis": {
            "backgroundcolor": "white",
            "gridcolor": "#DFE8F3",
            "gridwidth": 2,
            "linecolor": "#EBF0F8",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "#EBF0F8"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           },
           "bgcolor": "white",
           "caxis": {
            "gridcolor": "#DFE8F3",
            "linecolor": "#A2B1C6",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "#EBF0F8",
           "linecolor": "#EBF0F8",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#EBF0F8",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "font": {
          "size": 13.2
         },
         "text": "Correlation Funnel Plot"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "range": [
          -1,
          1
         ],
         "showticklabels": true,
         "tickfont": {
          "size": 8.8
         },
         "title": {
          "text": "Correlation"
         },
         "visible": true
        },
        "yaxis": {
         "anchor": "x",
         "autorange": "reversed",
         "domain": [
          0,
          1
         ],
         "tickfont": {
          "size": 8.8
         },
         "title": {
          "text": "Feature"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotly_from_dict(exploratory_agent.get_artifacts()['plotly_figure'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Correlation Funnel](../img/ds_agents/correlation_funnel.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 5: Sweetviz Tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---EXPLORATORY DATA ANALYST AGENT----\n",
      "    * RUN REACT TOOL-CALLING AGENT FOR EDA\n",
      "    * Tool: generate_sweetviz_report\n",
      "    * Using temporary directory: /var/folders/3s/bjq91lxs0jq9_zcw2q4l95gh0000gn/T/tmpvwcmahwt\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b0eab00a682848d5b6e107738f408e0b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "                                             |          | [  0%]   00:00 -> (? left)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Report /var/folders/3s/bjq91lxs0jq9_zcw2q4l95gh0000gn/T/tmpvwcmahwt/sweetviz_report.html was generated.\n",
      "    * POST-PROCESSING EDA RESULTS\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "The Sweetviz EDA report has been generated with the \"Churn\" feature as the target. You can download the report [here](sandbox:/var/folders/3s/bjq91lxs0jq9_zcw2q4l95gh0000gn/T/tmpvwcmahwt/sweetviz_report.html)."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.invoke_agent(\n",
    "    user_instructions=\"Generate a Sweetviz report for the dataset. Use the Churn feature as the target.\",\n",
    "    data_raw=df,\n",
    ")\n",
    "exploratory_agent.get_ai_message(markdown=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['report_file', 'report_html'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exploratory_agent.get_artifacts().keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "open_html_file_in_browser(exploratory_agent.get_artifacts()['report_file'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Sweetviz Report](../img/ds_agents/sweetviz_report.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Want To Become A Full-Stack Generative AI Data Scientist?\n",
    "\n",
    "![Generative AI Data Scientist](../../img/become_a_generative_ai_data_scientist.jpg)\n",
    "\n",
    "I teach Generative AI Data Science to help you build AI-powered data science apps. [**Register for my next Generative AI for Data Scientists workshop here.**](https://learn.business-science.io/ai-register)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ds4b_301p_dev",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
